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Record W2534229542 · doi:10.31542/j.ecj.25

Efficacy of Green Roof Technology in Colder Climates

2011· article· en· W2534229542 on OpenAlexaffvenueabout
Yancey Corden

Bibliographic record

VenueEarth Common Journal · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Heat Island Mitigation
Canadian institutionsNorthern Alberta Institute of Technology
Fundersnot available
KeywordsGreen roofRoofWildernessGeographyEnvironmental protectionArchaeologyEcology

Abstract

fetched live from OpenAlex

Green roof technology has been used within Canada as early as the first French settlers (1600) in the provinces of Nova Scotia and Newfoundland for necessity and survival in the Canadian wilderness. As home construction became more modernized, green roof technology was replaced by conventional roofing on houses and businesses. However, with the increased awareness of sustainable practices and environmental conservation, several European companies introduced new green roof technologies in the 1980s that began the movement of using this technology. While this technology has primarily been used in mild climates throughout Canada (Vancouver, British Columbia), little has been examined and researched regarding the use of green roof technology in colder and more severe climates within Canada. In his final year to complete his Bachelor Degree in Technology at the Northern Alberta Institute of Technology, Yancey Corden conducted research on the efficacy of green roof technology in Edmonton, Alberta capital region’s cold and severe climatic conditions. The results suggested that native plants to the region are most successful when used in green roof technology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.221
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes3
Has abstractyes

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